8 citations · 12 across the 3 of their papers we have counts for
3 papers
eess.SY2023★ 8 cited
A Hybrid Optimization and Deep Learning Algorithm for Cyber-resilient DER Control
Mohammad Panahazari, Matthew Koscak, Jianhua Zhang +3
With the proliferation of distributed energy resources (DERs) in the distribution grid, it is a challenge to effectively control a large number of DERs resilient to the communicati…
eess.SP2019★ 3 cited
Fast Scenario Reduction for Power Systems by Deep Learning
Qiao Li, David Wenzhong Gao
Scenario reduction is an important topic in stochastic programming problems. Due to the random behavior of load and renewable energy, stochastic programming becomes a useful techni…
eess.SY2019★ 1 cited
Fully Distributed DC Optimal Power Flow Based on Distributed Economic Dispatch and Distributed State Estimation
Qiao Li, David Wenzhong Gao, Lin Cheng +2
Optimal power flow (OPF) is an important technique for power systems to achieve optimal operation while satisfying multiple constraints. The traditional OPF are mostly centralized…